Diagnosis of ADHD using SVM algorithm

COMPUTE 2010 - The 3rd Annual ACM Bangalore Conference

Volumn , Issue , 2010, Pages

  Anuradha, J ^a   Tisha, ^a   Ramachandran, Varun ^a   Arulalan, K V ^b   Tripathy, B K ^a  

^a VIT UNIVERSITY   (India)

^b Pediatrics Primary Care Department   (India)

Author keywords

[No Author keywords available]

Indexed keywords

AI TECHNIQUES; ARTIFICIAL INTELLIGENCE TECHNIQUES; ATTENTION DEFICIT HYPERACTIVITY DISORDER; COMPLEX PROBLEMS; FEATURE SELECTION ALGORITHM; IDENTIFICATION ACCURACY; SVM ALGORITHM;

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; FEATURE EXTRACTION;

GENETIC ALGORITHMS;

EID: 77953003823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1754288.1754317     Document Type: Conference Paper

References (10)

1. Attention Deficit Hyperactivity Disorder: a Handbook for Diagnosis and Treatment, 2nd ed. (Barkley, R.A., Guilford Press, 1999)
2. Eicka L.Wodka, Chritopher Loftis, Stewart H.Mostofsky, Christine Prahme, Jennifer C. Gidley Larson, Martha B. Denckla, E. Mark Mahone "Prediction of ADHD in boys and girls using D-KEFS",2007 oxford journal clinical neuropsychology 2008 23(3):283-293
3. J.Weston, S.Mukherjee, O.Chapelle, M.Pontil, T.Poggio, V.Vapnik "Feature Selection for SVMs" IEEE paper (2001):668-674
4. Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann "Support Vector Machine for Multiple-Instance Learning" Eighteenth national conference on Artificial intelligence Edmonton, Alberta, Canada Pages: 943-944,2002
5. Davide Anguita, Andrea Boni and Sandro Ridella "Digital Architecture for support vector machines: Theory, Algorithm and FPGA implementation", Neural Networks, IEEE Transactions on In Neural Networks, IEE Transactions on, Vol. 14, No. 5. (2003), pp. 993-1009
6. Impact of parent and Teacher concordance on Diagnosing Attention Deficit Hyperactivity Disorder and its Sub-t types, Indian Journal of Paediatrics , volume 75, March 2008
7. Machine Learning Using Support Vector Machines King Saud University The College of Computer & Information Science Computer Science Department (Master) Neural Networks and Machine Learning Applications
8. Digital Least Squares Support Vector Machines, David Anguita and Andrea Boni. Neural Processing Letters journal Springer publications, volume 18, number 1 august 2003 pages 65-72
9. American Academy Of Pediatrics Committee on Quality Improvement, Subcommittee on Attention-Deficit/Hyperactivity Disorder Clinical Practice Guideline: Diagnosis and Evaluation of the Child With Attention-Deficit/ Hyperactivity Disorder, Vol. 105 No.5 May,2000
10. National Institute Of Mental Health- ADHD Research http://www.nimh.nih. gov/health/publications/attention-deficit-hyperactivity-disorder/complete-index. shtml